Improved automatic classification of biological particles from electron-microscopy images using genetic neural nets

1999 ◽  
pp. 373-382 ◽  
Author(s):  
J. J. Merelo ◽  
V. Rivas ◽  
G. Romero ◽  
P. Castillo ◽  
A. Pascual ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Automatic Classification ◽  
Neural Nets ◽  
Biological Particles ◽  
Microscopy Images

scholarly journals Maskiton: Interactive, web-based classification of single-particle electron microscopy images

2013 ◽  
Vol 182 (2) ◽  
pp. 155-163 ◽  
Author(s):  
Craig Yoshioka ◽  
Dmitry Lyumkis ◽  
Bridget Carragher ◽  
Clinton S. Potter
Keyword(s):  
Electron Microscopy ◽  
Single Particle ◽  
Web Based ◽  
Single Particle Electron Microscopy ◽  
Microscopy Images

scholarly journals Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors

2011 ◽  
Vol 4 (2) ◽  
pp. 723-759 ◽  
Author(s):  
A. Singer ◽  
Z. Zhao ◽  
Y. Shkolnisky ◽  
R. Hadani
Keyword(s):  
Electron Microscopy ◽  
Viewing Angle ◽  
Cryo Electron Microscopy ◽  
Microscopy Images

scholarly journals Taxonomic Significance of Seed Morphology in Veronica L. (Plantaginaceae) Species from Central Europe

Plants ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 88
Author(s):  
Małgorzata Mazur ◽  
Katarzyna Marcysiak ◽  
Agnieszka Dunajska ◽  
Magdalena Gawlak ◽  
Tomasz Kałuski
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Seed Morphology ◽  
Seed Shape ◽  
Periclinal Walls ◽  
Species Specific ◽  
Post Hoc ◽  
Microscopy Images ◽  
Scanning Electron

In this study, 1159 seeds of 29 Central European species of the genus Veronica were analyzed based on scanning electron microscopy images. The species belonged to nine subgenera: Beccabunga, Chamaedrys, Cochlidiosperma, Pellidosperma, Pentasepalae, Pocilla, Pseudolysimachium, Stenocarpon and Veronica, following the newest phylogenetic classification of the genus. Nine measured characteristics of seeds and nine ratios were analyzed statistically using ANOVA followed by post hoc testing, cluster analysis and discriminant analysis. In most cases, the results were not congruent with the contemporary classification of the genus. Examinations of qualitative seed features by scanning electron microscopy included the cochlidiospermous or discoid seed type, the seed shape, the general sculpture of the seed coat surface, the sculpture of anticlinal and periclinal walls and some species-specific traits such as the presence of the epidermal appendix. All these features, apart from seed shape, were useful to distinguish all subgenera and some species within subgenera: Beccabunga, Chamaedrys, Pellidosperma, Pocilla (only V. filiformis) and Veronica. The identification key based on the seed micromorphological features was prepared.

Ultrastructure of mesotheliomas

1984 ◽  
Vol 42 ◽  
pp. 98-101
Author(s):  
Irving Dardick
Keyword(s):  
Electron Microscopy ◽  
Latent Period ◽  
Spindle Cell ◽  
Spindle Cell Sarcoma ◽  
Metastatic Adenocarcinoma ◽  
Cell Sarcoma ◽  
Cytological Features ◽  
Industrial Use ◽  
Degree Of Differentiation

With the extensive industrial use of asbestos in this century and the long latent period (20-50 years) between exposure and tumor presentation, the incidence of malignant mesothelioma is now increasing. Thus, surgical pathologists are more frequently faced with the dilemma of differentiating mesothelioma from metastatic adenocarcinoma and spindle-cell sarcoma involving serosal surfaces. Electron microscopy is amodality useful in clarifying this problem.In utilizing ultrastructural features in the diagnosis of mesothelioma, it is essential to appreciate that the classification of this tumor reflects a variety of morphologic forms of differing biologic behavior (Table 1). Furthermore, with the variable histology and degree of differentiation in mesotheliomas it might be expected that the ultrastructure of such tumors also reflects a range of cytological features. Such is the case.

Interpreting HVEM of muscle-cell impulse networks

1992 ◽  
Vol 50 (1) ◽  
pp. 126-127
Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn
Keyword(s):  
Structural Analysis ◽  
Muscle Cell ◽  
Electron Micrographs ◽  
Relative Size ◽  
Automatic Classification ◽  
Nerve Fibers ◽  
Analysis Algorithm ◽  
Structural Networks

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).

A Transmission Electron Microscopical Investigation of Phase Transformations in TiNi

1980 ◽  
Vol 38 ◽  
pp. 340-341
Author(s):  
P. Moine ◽  
G. M. Michal ◽  
R. Sinclair
Keyword(s):  
Electron Microscopy ◽  
Phase Transformations ◽  
Applied Stress ◽  
Structural Changes ◽  
Microscopical Investigation ◽  
Temperature Range ◽  
Transmission Electron ◽  
Electron Microscopical ◽  
Diffraction Effects ◽  
Microscopy Images

Premartensitic effects in near equiatomic TiNi have been pointed out by several authors(1-5). These include anomalous contrast in electron microscopy images (mottling, striations, etc. ),diffraction effects(diffuse streaks, extra reflections, etc.), a resistivity peak above Ms (temperature at which a perceptible amount of martensite is formed without applied stress). However the structural changes occuring in this temperature range are not well understood. The purpose of this study is to clarify these phenomena.

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